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Wireless Communications and Mobile Computing
Volume 2018, Article ID 5606829, 16 pages
https://doi.org/10.1155/2018/5606829
Research Article

Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity Models

1Department of Electrical and Computer Engineering, American University of Beirut, Lebanon
2Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon

Correspondence should be addressed to Zaher Dawy; bl.ude.bua@30dz

Received 23 December 2017; Revised 27 March 2018; Accepted 18 April 2018; Published 16 May 2018

Academic Editor: Maode Ma

Copyright © 2018 Lynn Aoude et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Device-to-device (D2D) offloading has been shown to be a highly effective technique to enhance the performance of wireless networks. Yet, for any two mobile users to share data efficiently and reliably via D2D links, they should be in close proximity for long enough period of time, share similar content interests, and have some level of incentive and trust to cooperate. In this work, we focus on the practical implementation aspects of D2D data sharing taking into account realistic operational conditions. To this end, we design and conduct an experimental study to collect location and neighbor discovery data from 38 mobile users in a university campus over several weeks using our own customized crowdsourcing Android mobile application. The collected data is then processed and utilized to empirically model mobility-related parameters that include contact frequency, contact duration, and inter-contact duration. The participating users did also fill a user interest survey in order to correlate mobility and connectivity patterns with content interests and social network relations. The obtained insights are then used to develop a practical implementation framework for designing effective D2D data sharing strategies. To test the proposed ideas under realistic operational constraints, we design and implement a social-aware D2D data sharing Android mobile application and demonstrate its functionality and effectiveness using an example case study scenario.